Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
This job posting was originally in Japanese. The English version is automatically translated. Please visit the company site for the most accurate information.
Use data analytics to identify growth opportunities and challenges for Shiseido Japan, providing the business strategy team and brand holders (marketing departments) with strategic insights and recommendations for initiatives that directly drive business results. In response to issues and requests raised by the business strategy team and marketing departments, design and lead appropriate data analyses, from execution through to deriving insights. Data analytics themes include understanding market trends and consumer insights; understanding customer behavior and needs to refine marketing strategies and tactics; evaluating the effectiveness of marketing investments and optimizing resources; evaluating the effectiveness of new technology services and solutions; customer management; KPI design and operational management; and dashboard development. Organize the questions to be answered through data analytics and prioritize them, identify analytical hypotheses, and take a hands-on lead in collecting and processing the data needed to test those hypotheses, conducting analyses, and deriving insights. Example projects include analyzing research and purchase data to understand market trends and consumer insights; understanding target audiences for a brand’s mid-term strategy and translating findings into IMC; measuring brand equity and building brand portfolios; and evaluating the effectiveness of individual marketing initiatives, such as advertising and CRM.
- Ability to clarify the context behind abstract issues or requests, formulate hypotheses, and lead the process end to end, from data analysis through proposing initiatives - Ability to design appropriate analyses to address business strategy and marketing challenges - Ability to personally conduct data aggregation and analysis and deliver completed outputs (the number of years of practical SQL/Python experience is not required, provided you can use generative AI and similar tools to get up to speed and produce outputs) - Basic knowledge of machine learning, including the ability to translate and apply data analysis concepts and model insights in a business context
- Practical experience extracting and analyzing data and building models using SQL or Python (experience using generative AI for analysis and implementation is also welcome) - Experience providing support in a consulting firm, such as in data science or business analytics - Experience as a strategic planner at an advertising agency - Experience in business or marketing planning in the consumer goods, FMCG, or e-commerce sectors - Ability to clearly document results for business strategy teams and brand holders, and proactively provide accurate, well-considered responses - Passion for identifying and defining challenges independently and driving initiatives proactively - Industry interest: Interest in and enthusiasm for the beauty and cosmetics sector